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2022 | OriginalPaper | Chapter

15. A Knowledge Graph to Digitalise Functional Resonance Analyses in the Safety Area

Authors : Antonio De Nicola, Maria Luisa Villani, Francesco Costantino, Giulio Di Gravio, Andrea Falegnami, Riccardo Patriarca

Published in: Resilience in a Digital Age

Publisher: Springer International Publishing

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Abstract

We present the backbone of a knowledge graph to support the next generation of functional resonance analyses in the safety area by means of automatic reasoning services. The proposed knowledge graph is expected to incorporate existing industrial ontologies, according to the needs of safety analysts, and to handle the diversity of upper ontology models that may have been adopted for the development of enterprise-specific application ontologies. We briefly describe some possible usages of this knowledge graph, i.e. systematic exploration of safety-critical processes, analysis of misalignments of work-as-done from work-as-imagined process representations, creative design of work-as-done, and inter-company alignment of safety-critical processes to safety goals. Finally, we discuss the major implications of our proposal for safety analysts and safety practitioners.

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Footnotes
Literature
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Metadata
Title
A Knowledge Graph to Digitalise Functional Resonance Analyses in the Safety Area
Authors
Antonio De Nicola
Maria Luisa Villani
Francesco Costantino
Giulio Di Gravio
Andrea Falegnami
Riccardo Patriarca
Copyright Year
2022
Book
Resilience in a Digital Age

Print ISBN: 978-3-030-85953-4

Electronic ISBN: 978-3-030-85954-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-85954-1_15